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Duration 7 hours
Course Outline
Foundations of Artificial Intelligence
- Defining AI: Key terminology and underlying technologies
- Distinguishing between AI, machine learning, and automation
- Current trends in AI adoption within the public sector
AI Applications in Government
- Enhancing service delivery through chatbots, document automation, and predictive analytics
- Supporting policy and planning via modeling, forecasting, and simulations
- Case studies in public safety, healthcare, and citizen engagement
AI Risks, Ethics, and Bias
- Identifying and understanding algorithmic bias and fairness issues
- Ethical decision-making processes for AI systems
- The importance of transparency, accountability, and explainability
AI Governance and Regulatory Environment
- Overview of the EU AI Act, GDPR, and other global regulatory changes
- National AI strategies and governance frameworks
- Considerations for maintaining public trust and managing citizen impact
Procurement and Implementation Approaches
- Key knowledge required for leaders before investing in AI solutions
- Evaluating vendors, conducting pilots, and managing partnerships
- Fostering inter-agency collaboration and assessing data infrastructure readiness
Strategic Planning for AI Integration
- Developing internal AI literacy and forming cross-functional teams
- Aligning AI initiatives with organizational mission and outcomes
- Creating a roadmap for AI adoption within a specific department or agency
Conclusion and Future Steps
Requirements
- Familiarity with public sector operations and policy structures
- A genuine interest in utilizing emerging technologies for the public benefit
- No previous technical expertise in AI is necessary
Target Audience
- Senior administrators
- Ministers and government executives
- Policy advisors and public sector strategists
Testimonials (1)
I got to learn more about Microsoft Copilot, something that I thought was the same as chatGPT but I got to discover more exciting options that I will forever use to make my life easy.
